Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation

Studying Forgetting in Faster R-CNN for Online Object Detection: Analysis Scenarios, Localization in the Architecture, and Mitigation

Online Object Detection (OOD) requires learning new object categories from a stream of images, similar to an agent exploring new environments. In this context, the widely used architecture Faster R-CNN (Region Convolutional Neural Network) faces catastrophic forgetting: the acquisition of new knowle...

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Bibliographic Details
Main Authors: Baptiste Wagner, Denis Pellerin, Sylvain Huet
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Catastrophic forgetting
online object detection
faster R-CNN
Ebbinghaus forgetting curve
natural replay
online continual learning
Online Access:https://ieeexplore.ieee.org/document/10817562/
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